Bender Thomas J, Beall Colleen, Cheng Hong, Herrick Robert F, Kahn Amy R, Matthews Robert, Sathiakumar Nalini, Schymura Maria J, Stewart James H, Delzell Elizabeth
Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Ann Epidemiol. 2006 Mar;16(3):170-9. doi: 10.1016/j.annepidem.2005.06.055. Epub 2005 Sep 21.
Incidence studies of occupational factors and cancer in the United States are problematic because the use of population-based registries to identify cases requires development of historical data on subjects' residences and often severely restricts the time period of follow up. This article describes procedures for addressing these challenges.
We used data from studies of cancer incidence and mortality among microelectronics industry employees to assess various methods for developing residential histories and the relative informativeness of the two studies.
We developed residential histories for 98% of 99,229 mortality study subjects. Analyses making alternative assumptions about residential histories yielded standardized incidence ratios varying by at most 6%. Use of postemployment residential histories increased person-years by up to 62% and increased the observed number of cancers by up to 28%. The proportion of mortality study person-years included in the cancer incidence study ranged from 40% to 77% among work activity subcohorts. The number of observed cancer cases in the incidence study was 60% higher than the number of observed cancer deaths in the mortality study.
Assumptions about residential history had little impact on validity. Use of information sources with national coverage to develop residential histories increased the incidence study's precision. Despite geographic and temporal restrictions, incidence studies provide more data than mortality studies on cancers with good survival. However, the potential for selection bias in incidence studies may vary considerably among subcohorts, indicating the need for cautious interpretation of such research.
美国职业因素与癌症的发病率研究存在问题,因为利用基于人群的登记处来识别病例需要建立关于研究对象居住地的历史数据,并且常常严重限制随访的时间段。本文描述了应对这些挑战的程序。
我们使用了微电子行业员工癌症发病率和死亡率研究的数据,以评估开发居住史的各种方法以及两项研究的相对信息量。
我们为99,229名死亡率研究对象中的98%建立了居住史。对居住史做出不同假设的分析得出的标准化发病率比值差异至多为6%。使用就业后居住史使观察人年数增加了多达62%,并使观察到的癌症病例数增加了多达28%。在工作活动亚队列中,癌症发病率研究中纳入的死亡率研究人年数比例在40%至77%之间。发病率研究中观察到的癌症病例数比死亡率研究中观察到的癌症死亡数高60%。
关于居住史的假设对有效性影响不大。利用具有全国覆盖范围的信息来源来开发居住史提高了发病率研究的精确度。尽管存在地理和时间限制,但发病率研究比死亡率研究能提供更多关于生存率较高癌症的数据。然而,发病率研究中选择偏倚的可能性在亚队列之间可能有很大差异,这表明对此类研究的解读需要谨慎。